Helix AI Engineer, Video Pretraining

Highlights

• Lead video foundation models learning motion and interaction from raw video.
• Build models enabling perception, prediction and embodied reasoning.
• Power core AI for general-purpose humanoid robots perceiving real world.

Ideal candidate

An independent researcher-engineer fascinated by learning from video who thrives on ambiguous, high-impact problems and wants to translate temporal understanding into real-world humanoid autonomy.

Requirements

• Experience training large-scale models on video data or high-dimensional sequential modalities
• Strong understanding of modern deep learning architectures for video, vision, or multimodal systems
• Experience with large-scale pretraining including dataset curation and scaling laws
• Proficiency in Python and deep learning frameworks such as PyTorch
• Experience with distributed training systems and large GPU clusters
• Strong experimental rigor and ability to iterate quickly on model design
• Solid software engineering skills building scalable, reliable systems
• Ability to operate independently and drive ambiguous, high-impact research